code: def recall_grad_state(method: Callable) -> Callable:
      """Decorator for LazyEvaluatedKernelTensor's methods to put their execution
      inside the same grad state as during the instantiation of the lazy object.
      This makes the lazy tensor object behave in the same way as a regular tensor
      with respect to the grad state.
      """
  
      @functools.wraps(method)
      def wrapped(self, *args, **kwargs):
          with torch.set_grad_enabled(self._is_grad_enabled):
              output = method(self, *args, **kwargs)
          return output
  
      return wrapped
  
imports: import functools
  from typing import Callable
  import torch
  from linear_operator import LinearOperator, to_linear_operator
  from linear_operator.utils.getitem import _noop_index
  from ..None import beta_features, settings
  from ..utils import deprecation
  from ..utils.memoize import cached
label_desc: Use image node_id 1 for calling a global function with example usage: recall_grad_state(method) and returns: wrapped, output